DocumentCode
3523607
Title
Multiple maneuvering target data association based on genetic algorithms
Author
Wang, Jianhua ; Liu, Weiting ; Wan, Min ; Zhan, Sing ; Wang, Jian
Author_Institution
Res. Inst. of Electron. Eng., Harbin Inst. of Technol., China
Volume
2
fYear
2005
fDate
21-23 Feb. 2005
Firstpage
1011
Abstract
This paper studies the problem of data association in multiple maneuvering targets locating and tracking. Genetic algorithm is used successfully in solving the complex optimization and the industrial engineering problem. Recently researching on genetic algorithm has attracted a lot of attention. This paper puts forward a way of using genetic algorithms to resolve the problem of multiple target data association. The simulation results show that the algorithm used in this paper is able to avoid the local extremum and the outcome is satisfactory.
Keywords
genetic algorithms; probability; target tracking; data association; genetic algorithm; multiple maneuvering target location; multiple maneuvering target tracking; Covariance matrix; Equations; Genetic algorithms; Industrial engineering; Joining processes; Neural networks; Noise measurement; Particle measurements; Probability; Target tracking;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Communication Technology, 2005, ICACT 2005. The 7th International Conference on
Type
conf
DOI
10.1109/ICACT.2005.246130
Filename
1462954
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